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Achievement: Pull Sharkx2Achievement: YOLOAchievement: StarstruckAchievement: Arctic Code Vault Contributor
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lethaiq/README.md

Hi there 👋

Hi! I’m Thai Le. I’m currently an assistant professor at University of Mississippi (Ole Miss). My research interest lies in Trustworthy Machine Learning for NLP applications at large, with narrow topics in explainable AI, adversarial attack & robustness and computational misinformation.

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  1. GAIN GAIN Public

    Generative Adversarial Imputation Networks (GAIN) Pytorch version

    Python 27 3

  2. GRACE_KDD20 GRACE_KDD20 Public

    GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model’s Prediction. Thai Le, Suhang Wang, Dongwon Lee. 26th ACM SIGKDD Int’l Conf. on Knowledge Discovery and …

    Python 21 5

  3. MALCOM MALCOM Public

    MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models 20th IEEE International Conference on Data Mining (ICDM)

    Python 7

  4. ACL2021-DARCY-HoneypotDefenseNLP ACL2021-DARCY-HoneypotDefenseNLP Public

    Thai Le, Noseong Park, Dongwon Lee. A Sweet Rabbit Hole by DARCY: Using Honeypots to Detect Universal Trigger’s Adversarial Attacks. 59th Annual Meeting of the Association for Computational Linguis…

    Python 3

  5. Adversarial_SocialBots_WWW22 Adversarial_SocialBots_WWW22 Public

    Source code for the paper "Socialbots on Fire: Modeling Adversarial Behaviors of Socialbots via Multi-Agent Hierarchical Reinforcement Learning." (Web Conference 2022)

    Python 5 4

  6. shield-defend-adversarial-texts shield-defend-adversarial-texts Public

    Repository of the paper "SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher" accepted to ACL'22

    Python 10